{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from jqdata import finance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "d=finance.run_query(\n",
    "    query(finance.STK_EXCHANGE_TRADE_INFO).filter(\n",
    "        finance.STK_EXCHANGE_TRADE_INFO.exchange_code==322002).limit(1000))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>exchange_code</th>\n",
       "      <th>exchange_name</th>\n",
       "      <th>date</th>\n",
       "      <th>total_market_cap</th>\n",
       "      <th>circulating_market_cap</th>\n",
       "      <th>volume</th>\n",
       "      <th>money</th>\n",
       "      <th>deal_number</th>\n",
       "      <th>pe_average</th>\n",
       "      <th>turnover_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2005-01-04</td>\n",
       "      <td>25228.240618</td>\n",
       "      <td>6941.067590</td>\n",
       "      <td>8.064835e+04</td>\n",
       "      <td>43.888276</td>\n",
       "      <td>42.2473</td>\n",
       "      <td>23.817</td>\n",
       "      <td>0.6368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2005-01-05</td>\n",
       "      <td>25408.493484</td>\n",
       "      <td>7022.186703</td>\n",
       "      <td>8.523853e+04</td>\n",
       "      <td>48.680153</td>\n",
       "      <td>52.7249</td>\n",
       "      <td>23.978</td>\n",
       "      <td>0.6731</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>11</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2005-01-06</td>\n",
       "      <td>25157.357575</td>\n",
       "      <td>6967.940387</td>\n",
       "      <td>7.806968e+04</td>\n",
       "      <td>43.413997</td>\n",
       "      <td>48.8350</td>\n",
       "      <td>23.733</td>\n",
       "      <td>0.6159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>16</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2005-01-07</td>\n",
       "      <td>25266.082988</td>\n",
       "      <td>6987.978945</td>\n",
       "      <td>8.771144e+04</td>\n",
       "      <td>49.794987</td>\n",
       "      <td>56.1537</td>\n",
       "      <td>23.834</td>\n",
       "      <td>0.6920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>21</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2005-01-10</td>\n",
       "      <td>25421.051133</td>\n",
       "      <td>7050.466460</td>\n",
       "      <td>7.146552e+04</td>\n",
       "      <td>40.869440</td>\n",
       "      <td>42.8602</td>\n",
       "      <td>23.986</td>\n",
       "      <td>0.5638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>26</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2005-01-11</td>\n",
       "      <td>25525.699551</td>\n",
       "      <td>7076.813148</td>\n",
       "      <td>7.622809e+04</td>\n",
       "      <td>43.342806</td>\n",
       "      <td>48.2949</td>\n",
       "      <td>24.082</td>\n",
       "      <td>0.6014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>31</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2005-01-12</td>\n",
       "      <td>25515.271211</td>\n",
       "      <td>7072.487651</td>\n",
       "      <td>6.698202e+04</td>\n",
       "      <td>37.763518</td>\n",
       "      <td>47.1227</td>\n",
       "      <td>24.072</td>\n",
       "      <td>0.5284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>36</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2005-01-13</td>\n",
       "      <td>25501.586295</td>\n",
       "      <td>7079.367474</td>\n",
       "      <td>8.669130e+04</td>\n",
       "      <td>49.799892</td>\n",
       "      <td>60.8971</td>\n",
       "      <td>24.054</td>\n",
       "      <td>0.6839</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>41</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2005-01-14</td>\n",
       "      <td>25284.448072</td>\n",
       "      <td>7012.345610</td>\n",
       "      <td>9.803235e+04</td>\n",
       "      <td>52.409378</td>\n",
       "      <td>60.4152</td>\n",
       "      <td>23.856</td>\n",
       "      <td>0.7734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>46</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2005-01-17</td>\n",
       "      <td>24693.190097</td>\n",
       "      <td>6859.737683</td>\n",
       "      <td>9.898949e+04</td>\n",
       "      <td>53.974246</td>\n",
       "      <td>64.1288</td>\n",
       "      <td>23.291</td>\n",
       "      <td>0.7809</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>51</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2005-01-18</td>\n",
       "      <td>24872.471295</td>\n",
       "      <td>6926.296668</td>\n",
       "      <td>1.011292e+05</td>\n",
       "      <td>52.714279</td>\n",
       "      <td>62.4932</td>\n",
       "      <td>23.450</td>\n",
       "      <td>0.7978</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>56</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2005-01-19</td>\n",
       "      <td>24723.586201</td>\n",
       "      <td>6882.557669</td>\n",
       "      <td>9.222957e+04</td>\n",
       "      <td>46.389343</td>\n",
       "      <td>55.9316</td>\n",
       "      <td>23.306</td>\n",
       "      <td>0.7276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>61</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2005-01-20</td>\n",
       "      <td>24442.953466</td>\n",
       "      <td>6798.084179</td>\n",
       "      <td>1.019467e+05</td>\n",
       "      <td>53.489438</td>\n",
       "      <td>63.3790</td>\n",
       "      <td>23.046</td>\n",
       "      <td>0.8043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>66</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2005-01-21</td>\n",
       "      <td>25061.135031</td>\n",
       "      <td>6958.664534</td>\n",
       "      <td>1.680736e+05</td>\n",
       "      <td>89.564061</td>\n",
       "      <td>95.3443</td>\n",
       "      <td>23.649</td>\n",
       "      <td>1.3253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>71</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2005-01-24</td>\n",
       "      <td>25492.167280</td>\n",
       "      <td>7075.116710</td>\n",
       "      <td>1.779337e+05</td>\n",
       "      <td>97.091096</td>\n",
       "      <td>97.3878</td>\n",
       "      <td>24.055</td>\n",
       "      <td>1.4030</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>76</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2005-01-25</td>\n",
       "      <td>25462.915513</td>\n",
       "      <td>7047.680939</td>\n",
       "      <td>1.168512e+05</td>\n",
       "      <td>63.924386</td>\n",
       "      <td>69.6483</td>\n",
       "      <td>24.024</td>\n",
       "      <td>0.9214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>81</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2005-01-26</td>\n",
       "      <td>25214.596770</td>\n",
       "      <td>6981.278611</td>\n",
       "      <td>9.533910e+04</td>\n",
       "      <td>53.150944</td>\n",
       "      <td>61.7515</td>\n",
       "      <td>23.791</td>\n",
       "      <td>0.7518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>86</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2005-01-27</td>\n",
       "      <td>24890.232457</td>\n",
       "      <td>6876.436421</td>\n",
       "      <td>9.328742e+04</td>\n",
       "      <td>49.291500</td>\n",
       "      <td>61.6349</td>\n",
       "      <td>23.492</td>\n",
       "      <td>0.7353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>91</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2005-01-28</td>\n",
       "      <td>24641.563561</td>\n",
       "      <td>6804.561475</td>\n",
       "      <td>8.091605e+04</td>\n",
       "      <td>41.739217</td>\n",
       "      <td>53.6184</td>\n",
       "      <td>23.266</td>\n",
       "      <td>0.6378</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>96</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2005-01-31</td>\n",
       "      <td>24197.844959</td>\n",
       "      <td>6663.542838</td>\n",
       "      <td>8.933646e+04</td>\n",
       "      <td>46.288760</td>\n",
       "      <td>58.3350</td>\n",
       "      <td>22.872</td>\n",
       "      <td>0.7041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>101</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2005-02-01</td>\n",
       "      <td>24146.855161</td>\n",
       "      <td>6637.202245</td>\n",
       "      <td>9.336344e+04</td>\n",
       "      <td>49.378596</td>\n",
       "      <td>58.5273</td>\n",
       "      <td>22.832</td>\n",
       "      <td>0.7357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>106</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2005-02-02</td>\n",
       "      <td>25438.612003</td>\n",
       "      <td>6992.391195</td>\n",
       "      <td>1.893028e+05</td>\n",
       "      <td>104.300372</td>\n",
       "      <td>102.3419</td>\n",
       "      <td>24.051</td>\n",
       "      <td>1.4917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>111</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2005-02-03</td>\n",
       "      <td>25344.255290</td>\n",
       "      <td>6894.695001</td>\n",
       "      <td>2.007766e+05</td>\n",
       "      <td>107.433535</td>\n",
       "      <td>118.2490</td>\n",
       "      <td>23.796</td>\n",
       "      <td>1.5785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>116</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2005-02-04</td>\n",
       "      <td>25897.614930</td>\n",
       "      <td>7052.592366</td>\n",
       "      <td>1.676667e+05</td>\n",
       "      <td>95.704268</td>\n",
       "      <td>89.5449</td>\n",
       "      <td>24.323</td>\n",
       "      <td>1.3170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>121</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2005-02-16</td>\n",
       "      <td>26102.445741</td>\n",
       "      <td>7105.658445</td>\n",
       "      <td>1.417515e+05</td>\n",
       "      <td>78.696856</td>\n",
       "      <td>74.8128</td>\n",
       "      <td>24.505</td>\n",
       "      <td>1.1134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>126</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2005-02-17</td>\n",
       "      <td>26045.112746</td>\n",
       "      <td>7109.665310</td>\n",
       "      <td>1.107656e+05</td>\n",
       "      <td>60.486473</td>\n",
       "      <td>64.8179</td>\n",
       "      <td>24.445</td>\n",
       "      <td>0.8700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>131</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2005-02-18</td>\n",
       "      <td>25692.198016</td>\n",
       "      <td>7010.249244</td>\n",
       "      <td>1.058830e+05</td>\n",
       "      <td>57.469864</td>\n",
       "      <td>64.1220</td>\n",
       "      <td>24.114</td>\n",
       "      <td>0.8317</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>136</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2005-02-21</td>\n",
       "      <td>26215.313396</td>\n",
       "      <td>7144.427419</td>\n",
       "      <td>1.235990e+05</td>\n",
       "      <td>68.641149</td>\n",
       "      <td>69.9293</td>\n",
       "      <td>24.606</td>\n",
       "      <td>0.9708</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>141</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2005-02-22</td>\n",
       "      <td>26716.011634</td>\n",
       "      <td>7298.954296</td>\n",
       "      <td>2.209229e+05</td>\n",
       "      <td>125.645506</td>\n",
       "      <td>131.0639</td>\n",
       "      <td>25.073</td>\n",
       "      <td>1.7353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>146</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2005-02-23</td>\n",
       "      <td>26719.961617</td>\n",
       "      <td>7314.000030</td>\n",
       "      <td>2.381968e+05</td>\n",
       "      <td>135.552934</td>\n",
       "      <td>138.4887</td>\n",
       "      <td>25.068</td>\n",
       "      <td>1.8710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>970</th>\n",
       "      <td>4854</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2009-01-05</td>\n",
       "      <td>100121.273555</td>\n",
       "      <td>33384.077351</td>\n",
       "      <td>6.680215e+05</td>\n",
       "      <td>459.555377</td>\n",
       "      <td>366.4037</td>\n",
       "      <td>15.355</td>\n",
       "      <td>1.3891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>971</th>\n",
       "      <td>4860</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2009-01-06</td>\n",
       "      <td>103124.622181</td>\n",
       "      <td>34621.318435</td>\n",
       "      <td>9.865078e+05</td>\n",
       "      <td>688.882464</td>\n",
       "      <td>541.5853</td>\n",
       "      <td>15.815</td>\n",
       "      <td>2.0468</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>972</th>\n",
       "      <td>4866</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2009-01-07</td>\n",
       "      <td>102425.593838</td>\n",
       "      <td>34555.444612</td>\n",
       "      <td>9.213621e+05</td>\n",
       "      <td>639.488164</td>\n",
       "      <td>527.4846</td>\n",
       "      <td>15.712</td>\n",
       "      <td>1.9113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>973</th>\n",
       "      <td>4872</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2009-01-08</td>\n",
       "      <td>99980.918964</td>\n",
       "      <td>33762.647008</td>\n",
       "      <td>7.993249e+05</td>\n",
       "      <td>549.024688</td>\n",
       "      <td>470.0222</td>\n",
       "      <td>15.336</td>\n",
       "      <td>1.6580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>974</th>\n",
       "      <td>4878</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2009-01-09</td>\n",
       "      <td>101419.974839</td>\n",
       "      <td>34400.808332</td>\n",
       "      <td>7.169080e+05</td>\n",
       "      <td>504.470491</td>\n",
       "      <td>406.5324</td>\n",
       "      <td>15.556</td>\n",
       "      <td>1.4864</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>975</th>\n",
       "      <td>4884</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2009-01-12</td>\n",
       "      <td>101175.704970</td>\n",
       "      <td>34582.727365</td>\n",
       "      <td>8.335093e+05</td>\n",
       "      <td>595.122980</td>\n",
       "      <td>484.8760</td>\n",
       "      <td>15.517</td>\n",
       "      <td>1.7246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>976</th>\n",
       "      <td>4890</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2009-01-13</td>\n",
       "      <td>99208.969422</td>\n",
       "      <td>33822.575715</td>\n",
       "      <td>7.346716e+05</td>\n",
       "      <td>491.413537</td>\n",
       "      <td>434.3238</td>\n",
       "      <td>15.217</td>\n",
       "      <td>1.5187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>977</th>\n",
       "      <td>4896</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2009-01-14</td>\n",
       "      <td>102701.465181</td>\n",
       "      <td>35234.071368</td>\n",
       "      <td>8.755076e+05</td>\n",
       "      <td>640.645838</td>\n",
       "      <td>491.4590</td>\n",
       "      <td>15.753</td>\n",
       "      <td>1.8098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>978</th>\n",
       "      <td>4902</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2009-01-15</td>\n",
       "      <td>102238.599933</td>\n",
       "      <td>35362.421376</td>\n",
       "      <td>1.154057e+06</td>\n",
       "      <td>830.131685</td>\n",
       "      <td>623.9690</td>\n",
       "      <td>15.679</td>\n",
       "      <td>2.3842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>979</th>\n",
       "      <td>4908</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2009-01-16</td>\n",
       "      <td>104066.253826</td>\n",
       "      <td>35959.728765</td>\n",
       "      <td>1.326340e+06</td>\n",
       "      <td>999.343863</td>\n",
       "      <td>693.5906</td>\n",
       "      <td>15.961</td>\n",
       "      <td>2.7370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>980</th>\n",
       "      <td>4914</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2009-01-19</td>\n",
       "      <td>105818.077900</td>\n",
       "      <td>36331.977827</td>\n",
       "      <td>1.091359e+06</td>\n",
       "      <td>810.589201</td>\n",
       "      <td>565.0810</td>\n",
       "      <td>16.232</td>\n",
       "      <td>2.2502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>981</th>\n",
       "      <td>4920</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2009-01-20</td>\n",
       "      <td>106249.557847</td>\n",
       "      <td>36633.720100</td>\n",
       "      <td>7.452950e+05</td>\n",
       "      <td>556.715918</td>\n",
       "      <td>418.0664</td>\n",
       "      <td>16.296</td>\n",
       "      <td>1.5367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>982</th>\n",
       "      <td>4926</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2009-01-21</td>\n",
       "      <td>105764.237224</td>\n",
       "      <td>36556.892605</td>\n",
       "      <td>8.698563e+05</td>\n",
       "      <td>679.877246</td>\n",
       "      <td>473.9404</td>\n",
       "      <td>16.220</td>\n",
       "      <td>1.7929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>983</th>\n",
       "      <td>4932</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2009-01-22</td>\n",
       "      <td>106821.579192</td>\n",
       "      <td>36985.331669</td>\n",
       "      <td>8.802737e+05</td>\n",
       "      <td>664.367457</td>\n",
       "      <td>494.0305</td>\n",
       "      <td>16.382</td>\n",
       "      <td>1.8142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>984</th>\n",
       "      <td>4938</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2009-01-23</td>\n",
       "      <td>106054.882716</td>\n",
       "      <td>36874.193778</td>\n",
       "      <td>8.549290e+05</td>\n",
       "      <td>627.347756</td>\n",
       "      <td>480.0514</td>\n",
       "      <td>16.262</td>\n",
       "      <td>1.7594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>985</th>\n",
       "      <td>4944</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2009-02-02</td>\n",
       "      <td>107173.568510</td>\n",
       "      <td>37745.011859</td>\n",
       "      <td>8.436712e+05</td>\n",
       "      <td>616.682147</td>\n",
       "      <td>488.3273</td>\n",
       "      <td>16.430</td>\n",
       "      <td>1.7287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>986</th>\n",
       "      <td>4950</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2009-02-03</td>\n",
       "      <td>109795.131364</td>\n",
       "      <td>38679.236801</td>\n",
       "      <td>1.337834e+06</td>\n",
       "      <td>964.955059</td>\n",
       "      <td>733.2344</td>\n",
       "      <td>16.832</td>\n",
       "      <td>2.7412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>987</th>\n",
       "      <td>4956</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2009-02-04</td>\n",
       "      <td>112297.448469</td>\n",
       "      <td>39649.155190</td>\n",
       "      <td>1.511159e+06</td>\n",
       "      <td>1105.308558</td>\n",
       "      <td>826.9248</td>\n",
       "      <td>17.215</td>\n",
       "      <td>3.0964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>988</th>\n",
       "      <td>4962</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2009-02-05</td>\n",
       "      <td>111779.183735</td>\n",
       "      <td>39340.272354</td>\n",
       "      <td>1.645357e+06</td>\n",
       "      <td>1242.137578</td>\n",
       "      <td>924.6195</td>\n",
       "      <td>17.137</td>\n",
       "      <td>3.3712</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>989</th>\n",
       "      <td>4968</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2009-02-06</td>\n",
       "      <td>116210.252307</td>\n",
       "      <td>40897.720946</td>\n",
       "      <td>1.600979e+06</td>\n",
       "      <td>1204.156758</td>\n",
       "      <td>861.3854</td>\n",
       "      <td>17.816</td>\n",
       "      <td>3.2784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>990</th>\n",
       "      <td>4974</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2009-02-09</td>\n",
       "      <td>118520.370941</td>\n",
       "      <td>41999.513743</td>\n",
       "      <td>1.913239e+06</td>\n",
       "      <td>1502.319283</td>\n",
       "      <td>1032.6069</td>\n",
       "      <td>18.167</td>\n",
       "      <td>3.9103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>991</th>\n",
       "      <td>4980</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2009-02-10</td>\n",
       "      <td>120669.212860</td>\n",
       "      <td>42615.280176</td>\n",
       "      <td>1.713005e+06</td>\n",
       "      <td>1351.724401</td>\n",
       "      <td>973.7216</td>\n",
       "      <td>18.495</td>\n",
       "      <td>3.4986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>992</th>\n",
       "      <td>4986</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2009-02-11</td>\n",
       "      <td>120443.436112</td>\n",
       "      <td>42746.535459</td>\n",
       "      <td>2.081131e+06</td>\n",
       "      <td>1718.548246</td>\n",
       "      <td>1179.8052</td>\n",
       "      <td>18.459</td>\n",
       "      <td>4.2504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>993</th>\n",
       "      <td>4992</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2009-02-12</td>\n",
       "      <td>119778.178745</td>\n",
       "      <td>42689.892143</td>\n",
       "      <td>1.732283e+06</td>\n",
       "      <td>1419.553923</td>\n",
       "      <td>1017.8661</td>\n",
       "      <td>18.351</td>\n",
       "      <td>3.5379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>994</th>\n",
       "      <td>4998</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2009-02-13</td>\n",
       "      <td>123653.351289</td>\n",
       "      <td>44130.932820</td>\n",
       "      <td>1.988283e+06</td>\n",
       "      <td>1642.154266</td>\n",
       "      <td>1104.8198</td>\n",
       "      <td>18.945</td>\n",
       "      <td>4.0599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>5004</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2009-02-16</td>\n",
       "      <td>127318.193171</td>\n",
       "      <td>45375.379371</td>\n",
       "      <td>2.105454e+06</td>\n",
       "      <td>1777.792897</td>\n",
       "      <td>1178.9135</td>\n",
       "      <td>19.508</td>\n",
       "      <td>4.2906</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>5010</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2009-02-17</td>\n",
       "      <td>123596.280910</td>\n",
       "      <td>43951.119190</td>\n",
       "      <td>1.972264e+06</td>\n",
       "      <td>1689.330705</td>\n",
       "      <td>1194.3906</td>\n",
       "      <td>18.938</td>\n",
       "      <td>4.0154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>5016</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2009-02-18</td>\n",
       "      <td>117752.037585</td>\n",
       "      <td>41989.088199</td>\n",
       "      <td>1.616555e+06</td>\n",
       "      <td>1350.966323</td>\n",
       "      <td>994.8336</td>\n",
       "      <td>18.040</td>\n",
       "      <td>3.2909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>5022</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2009-02-19</td>\n",
       "      <td>118682.050420</td>\n",
       "      <td>42458.295821</td>\n",
       "      <td>1.295497e+06</td>\n",
       "      <td>1083.645562</td>\n",
       "      <td>769.8842</td>\n",
       "      <td>18.184</td>\n",
       "      <td>2.6373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>5028</td>\n",
       "      <td>322002</td>\n",
       "      <td>上海A股</td>\n",
       "      <td>2009-02-20</td>\n",
       "      <td>120693.897938</td>\n",
       "      <td>43378.449452</td>\n",
       "      <td>1.284225e+06</td>\n",
       "      <td>1090.015060</td>\n",
       "      <td>768.1523</td>\n",
       "      <td>18.459</td>\n",
       "      <td>2.6136</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       id exchange_code      ...       pe_average turnover_ratio\n",
       "0       1        322002      ...           23.817         0.6368\n",
       "1       6        322002      ...           23.978         0.6731\n",
       "2      11        322002      ...           23.733         0.6159\n",
       "3      16        322002      ...           23.834         0.6920\n",
       "4      21        322002      ...           23.986         0.5638\n",
       "5      26        322002      ...           24.082         0.6014\n",
       "6      31        322002      ...           24.072         0.5284\n",
       "7      36        322002      ...           24.054         0.6839\n",
       "8      41        322002      ...           23.856         0.7734\n",
       "9      46        322002      ...           23.291         0.7809\n",
       "10     51        322002      ...           23.450         0.7978\n",
       "11     56        322002      ...           23.306         0.7276\n",
       "12     61        322002      ...           23.046         0.8043\n",
       "13     66        322002      ...           23.649         1.3253\n",
       "14     71        322002      ...           24.055         1.4030\n",
       "15     76        322002      ...           24.024         0.9214\n",
       "16     81        322002      ...           23.791         0.7518\n",
       "17     86        322002      ...           23.492         0.7353\n",
       "18     91        322002      ...           23.266         0.6378\n",
       "19     96        322002      ...           22.872         0.7041\n",
       "20    101        322002      ...           22.832         0.7357\n",
       "21    106        322002      ...           24.051         1.4917\n",
       "22    111        322002      ...           23.796         1.5785\n",
       "23    116        322002      ...           24.323         1.3170\n",
       "24    121        322002      ...           24.505         1.1134\n",
       "25    126        322002      ...           24.445         0.8700\n",
       "26    131        322002      ...           24.114         0.8317\n",
       "27    136        322002      ...           24.606         0.9708\n",
       "28    141        322002      ...           25.073         1.7353\n",
       "29    146        322002      ...           25.068         1.8710\n",
       "..    ...           ...      ...              ...            ...\n",
       "970  4854        322002      ...           15.355         1.3891\n",
       "971  4860        322002      ...           15.815         2.0468\n",
       "972  4866        322002      ...           15.712         1.9113\n",
       "973  4872        322002      ...           15.336         1.6580\n",
       "974  4878        322002      ...           15.556         1.4864\n",
       "975  4884        322002      ...           15.517         1.7246\n",
       "976  4890        322002      ...           15.217         1.5187\n",
       "977  4896        322002      ...           15.753         1.8098\n",
       "978  4902        322002      ...           15.679         2.3842\n",
       "979  4908        322002      ...           15.961         2.7370\n",
       "980  4914        322002      ...           16.232         2.2502\n",
       "981  4920        322002      ...           16.296         1.5367\n",
       "982  4926        322002      ...           16.220         1.7929\n",
       "983  4932        322002      ...           16.382         1.8142\n",
       "984  4938        322002      ...           16.262         1.7594\n",
       "985  4944        322002      ...           16.430         1.7287\n",
       "986  4950        322002      ...           16.832         2.7412\n",
       "987  4956        322002      ...           17.215         3.0964\n",
       "988  4962        322002      ...           17.137         3.3712\n",
       "989  4968        322002      ...           17.816         3.2784\n",
       "990  4974        322002      ...           18.167         3.9103\n",
       "991  4980        322002      ...           18.495         3.4986\n",
       "992  4986        322002      ...           18.459         4.2504\n",
       "993  4992        322002      ...           18.351         3.5379\n",
       "994  4998        322002      ...           18.945         4.0599\n",
       "995  5004        322002      ...           19.508         4.2906\n",
       "996  5010        322002      ...           18.938         4.0154\n",
       "997  5016        322002      ...           18.040         3.2909\n",
       "998  5022        322002      ...           18.184         2.6373\n",
       "999  5028        322002      ...           18.459         2.6136\n",
       "\n",
       "[1000 rows x 11 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "d1=d.date"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "d.index=d1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "date\n",
       "2005-01-04      43.888276\n",
       "2005-01-05      48.680153\n",
       "2005-01-06      43.413997\n",
       "2005-01-07      49.794987\n",
       "2005-01-10      40.869440\n",
       "2005-01-11      43.342806\n",
       "2005-01-12      37.763518\n",
       "2005-01-13      49.799892\n",
       "2005-01-14      52.409378\n",
       "2005-01-17      53.974246\n",
       "2005-01-18      52.714279\n",
       "2005-01-19      46.389343\n",
       "2005-01-20      53.489438\n",
       "2005-01-21      89.564061\n",
       "2005-01-24      97.091096\n",
       "2005-01-25      63.924386\n",
       "2005-01-26      53.150944\n",
       "2005-01-27      49.291500\n",
       "2005-01-28      41.739217\n",
       "2005-01-31      46.288760\n",
       "2005-02-01      49.378596\n",
       "2005-02-02     104.300372\n",
       "2005-02-03     107.433535\n",
       "2005-02-04      95.704268\n",
       "2005-02-16      78.696856\n",
       "2005-02-17      60.486473\n",
       "2005-02-18      57.469864\n",
       "2005-02-21      68.641149\n",
       "2005-02-22     125.645506\n",
       "2005-02-23     135.552934\n",
       "                 ...     \n",
       "2009-01-05     459.555377\n",
       "2009-01-06     688.882464\n",
       "2009-01-07     639.488164\n",
       "2009-01-08     549.024688\n",
       "2009-01-09     504.470491\n",
       "2009-01-12     595.122980\n",
       "2009-01-13     491.413537\n",
       "2009-01-14     640.645838\n",
       "2009-01-15     830.131685\n",
       "2009-01-16     999.343863\n",
       "2009-01-19     810.589201\n",
       "2009-01-20     556.715918\n",
       "2009-01-21     679.877246\n",
       "2009-01-22     664.367457\n",
       "2009-01-23     627.347756\n",
       "2009-02-02     616.682147\n",
       "2009-02-03     964.955059\n",
       "2009-02-04    1105.308558\n",
       "2009-02-05    1242.137578\n",
       "2009-02-06    1204.156758\n",
       "2009-02-09    1502.319283\n",
       "2009-02-10    1351.724401\n",
       "2009-02-11    1718.548246\n",
       "2009-02-12    1419.553923\n",
       "2009-02-13    1642.154266\n",
       "2009-02-16    1777.792897\n",
       "2009-02-17    1689.330705\n",
       "2009-02-18    1350.966323\n",
       "2009-02-19    1083.645562\n",
       "2009-02-20    1090.015060\n",
       "Name: money, Length: 1000, dtype: float64"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d.money"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "       (3604.76,), (3443.16,), (3544.19,), (3485.63,), (3473.09,),\n",
       "       (3364.54,), (3375.41,), (3459.03,), (3401.44,), (3433.35,),\n",
       "       (3459.04,), (3436.4,), (3369.91,), (3351.64,), (3329.67,),\n",
       "       (3072.33,), (3024.24,), (2957.53,), (2868.8,), (2874.1,),\n",
       "       (2794.75,), (2941.11,), (2748.87,), (2831.74,), (2760.42,),\n",
       "       (2803.02,), (2905.01,), (2901.85,), (2748.43,), (2736.1,),\n",
       "       (2651.61,), (2651.72,), (2703.53,), (2669.89,), (2792.4,),\n",
       "       (2814.95,), (2920.55,), (2875.45,), (2856.63,), (2878.26,),\n",
       "       (2779.45,), (2705.87,), (2684.78,), (2778.37,), (2861.42,),\n",
       "       (2846.12,), (2837.85,), (2910.29,), (2865.1,), (2903.01,),\n",
       "       (2850.31,), (2836.67,), (2775.72,), (2801.82,), (2741.74,),\n",
       "       (2690.75,), (2719.37,), (2727.58,), (2605.72,), (2470.07,),\n",
       "       (2457.2,), (2446.3,), (2437.08,), (2450.61,), (2319.87,),\n",
       "       (2344.47,), (2523.28,), (2431.72,), (2405.23,), (2413.37,),\n",
       "       (2350.08,), (2342.15,), (2350.14,), (2397.37,), (2325.14,),\n",
       "       (2304.89,), (2276.67,), (2277.41,), (2202.45,), (2143.42,),\n",
       "       (2145.78,), (2150.76,), (2078.98,), (2079.67,), (1986.64,),\n",
       "       (1929.05,), (1895.84,), (2075.09,), (2236.41,), (2201.51,),\n",
       "       (2216.81,), (2297.5,), (2293.78,), (2173.74,), (2157.84,),\n",
       "       (2092.22,), (2074.58,), (2000.57,), (2073.57,), (2017.32,),\n",
       "       (1994.67,), (1909.94,), (1930.65,), (1974.01,), (1958.53,),\n",
       "       (1895.82,), (1875.56,), (1839.62,), (1723.35,), (1771.82,),\n",
       "       (1719.81,), (1763.61,), (1728.79,), (1719.77,), (1706.7,),\n",
       "       (1760.61,), (1717.72,), (1747.71,), (1874.8,), (1843.61,),\n",
       "       (1859.11,), (1927.61,), (1986.44,), (2030.48,), (1902.43,),\n",
       "       (2017.47,), (1983.76,), (1969.39,), (1897.06,), (1888.71,),\n",
       "       (1897.88,), (1917.86,), (1871.16,), (1894.62,), (1889.64,),\n",
       "       (1965.41,), (2001.5,), (2018.66,), (2090.77,), (2037.74,),\n",
       "       (2079.12,), (2031.68,), (1954.21,), (1964.37,), (1975.01,),\n",
       "       (1976.82,), (2015.69,), (2018.46,), (1987.76,), (1897.22,),\n",
       "       (1863.8,), (1852.42,), (1851.52,), (1850.48,), (1832.91,),\n",
       "       (1820.81,), (1880.72,), (1937.14,), (1924.01,), (1878.18,),\n",
       "       (1904.86,), (1900.35,), (1863.37,), (1928.87,), (1920.21,),\n",
       "       (1954.44,), (1986.67,), (1994.11,), (1985.02,), (2004.95,),\n",
       "       (1990.66,), (2011.68,), (2060.81,), (2107.75,), (2098.02,),\n",
       "       (2181.24,), (2224.71,), (2265.16,), (2260.82,), (2248.09,),\n",
       "       (2320.79,), (2389.39,), (2319.44,), (2209.86,), (2227.13,)],\n",
       "      dtype=(numpy.record, [('close', '<f8')]))"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y2 = get_bars('000001.XSHG', count=1000, unit='1d',\n",
    "         fields=['close'],end_dt='2009-2-20')\n",
    "y2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>close</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1242.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1251.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1239.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1244.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1252.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1257.46</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1256.92</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1256.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1245.62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1216.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1225.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1218.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1204.39</td>\n",
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       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1234.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1255.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1254.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1241.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1225.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1213.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1191.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1188.93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1252.50</td>\n",
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       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1242.31</td>\n",
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       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1269.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1278.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1276.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1258.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1284.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1309.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>1309.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>970</th>\n",
       "      <td>1820.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>971</th>\n",
       "      <td>1880.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>972</th>\n",
       "      <td>1937.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>973</th>\n",
       "      <td>1924.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>974</th>\n",
       "      <td>1878.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>975</th>\n",
       "      <td>1904.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>976</th>\n",
       "      <td>1900.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>977</th>\n",
       "      <td>1863.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>978</th>\n",
       "      <td>1928.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>979</th>\n",
       "      <td>1920.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>980</th>\n",
       "      <td>1954.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>981</th>\n",
       "      <td>1986.67</td>\n",
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       "    <tr>\n",
       "      <th>982</th>\n",
       "      <td>1994.11</td>\n",
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       "    <tr>\n",
       "      <th>983</th>\n",
       "      <td>1985.02</td>\n",
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       "    <tr>\n",
       "      <th>984</th>\n",
       "      <td>2004.95</td>\n",
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       "    <tr>\n",
       "      <th>985</th>\n",
       "      <td>1990.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>986</th>\n",
       "      <td>2011.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>987</th>\n",
       "      <td>2060.81</td>\n",
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       "    <tr>\n",
       "      <th>988</th>\n",
       "      <td>2107.75</td>\n",
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       "    <tr>\n",
       "      <th>989</th>\n",
       "      <td>2098.02</td>\n",
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       "    <tr>\n",
       "      <th>990</th>\n",
       "      <td>2181.24</td>\n",
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       "    <tr>\n",
       "      <th>991</th>\n",
       "      <td>2224.71</td>\n",
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       "    <tr>\n",
       "      <th>992</th>\n",
       "      <td>2265.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>993</th>\n",
       "      <td>2260.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>994</th>\n",
       "      <td>2248.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>2320.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>2389.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>2319.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>2209.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>2227.13</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       close\n",
       "0    1242.77\n",
       "1    1251.94\n",
       "2    1239.43\n",
       "3    1244.75\n",
       "4    1252.40\n",
       "5    1257.46\n",
       "6    1256.92\n",
       "7    1256.31\n",
       "8    1245.62\n",
       "9    1216.65\n",
       "10   1225.45\n",
       "11   1218.11\n",
       "12   1204.39\n",
       "13   1234.48\n",
       "14   1255.78\n",
       "15   1254.23\n",
       "16   1241.96\n",
       "17   1225.89\n",
       "18   1213.67\n",
       "19   1191.82\n",
       "20   1188.93\n",
       "21   1252.50\n",
       "22   1242.31\n",
       "23   1269.00\n",
       "24   1278.88\n",
       "25   1276.13\n",
       "26   1258.97\n",
       "27   1284.48\n",
       "28   1309.28\n",
       "29   1309.47\n",
       "..       ...\n",
       "970  1820.81\n",
       "971  1880.72\n",
       "972  1937.14\n",
       "973  1924.01\n",
       "974  1878.18\n",
       "975  1904.86\n",
       "976  1900.35\n",
       "977  1863.37\n",
       "978  1928.87\n",
       "979  1920.21\n",
       "980  1954.44\n",
       "981  1986.67\n",
       "982  1994.11\n",
       "983  1985.02\n",
       "984  2004.95\n",
       "985  1990.66\n",
       "986  2011.68\n",
       "987  2060.81\n",
       "988  2107.75\n",
       "989  2098.02\n",
       "990  2181.24\n",
       "991  2224.71\n",
       "992  2265.16\n",
       "993  2260.82\n",
       "994  2248.09\n",
       "995  2320.79\n",
       "996  2389.39\n",
       "997  2319.44\n",
       "998  2209.86\n",
       "999  2227.13\n",
       "\n",
       "[1000 rows x 1 columns]"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y3=pd.DataFrame(y2)\n",
    "y3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "dates = pd.date_range('2005-1-4',periods=1000)\n",
    "y3.index = dates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>close</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2005-01-04</th>\n",
       "      <td>1242.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-01-05</th>\n",
       "      <td>1251.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-01-06</th>\n",
       "      <td>1239.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-01-07</th>\n",
       "      <td>1244.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-01-08</th>\n",
       "      <td>1252.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-01-09</th>\n",
       "      <td>1257.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-01-10</th>\n",
       "      <td>1256.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-01-11</th>\n",
       "      <td>1256.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-01-12</th>\n",
       "      <td>1245.62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-01-13</th>\n",
       "      <td>1216.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-01-14</th>\n",
       "      <td>1225.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-01-15</th>\n",
       "      <td>1218.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-01-16</th>\n",
       "      <td>1204.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-01-17</th>\n",
       "      <td>1234.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-01-18</th>\n",
       "      <td>1255.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-01-19</th>\n",
       "      <td>1254.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-01-20</th>\n",
       "      <td>1241.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-01-21</th>\n",
       "      <td>1225.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-01-22</th>\n",
       "      <td>1213.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-01-23</th>\n",
       "      <td>1191.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-01-24</th>\n",
       "      <td>1188.93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-01-25</th>\n",
       "      <td>1252.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-01-26</th>\n",
       "      <td>1242.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-01-27</th>\n",
       "      <td>1269.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-01-28</th>\n",
       "      <td>1278.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-01-29</th>\n",
       "      <td>1276.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-01-30</th>\n",
       "      <td>1258.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-01-31</th>\n",
       "      <td>1284.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-02-01</th>\n",
       "      <td>1309.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-02-02</th>\n",
       "      <td>1309.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-09-01</th>\n",
       "      <td>1820.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-09-02</th>\n",
       "      <td>1880.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-09-03</th>\n",
       "      <td>1937.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-09-04</th>\n",
       "      <td>1924.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-09-05</th>\n",
       "      <td>1878.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-09-06</th>\n",
       "      <td>1904.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-09-07</th>\n",
       "      <td>1900.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-09-08</th>\n",
       "      <td>1863.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-09-09</th>\n",
       "      <td>1928.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-09-10</th>\n",
       "      <td>1920.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-09-11</th>\n",
       "      <td>1954.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-09-12</th>\n",
       "      <td>1986.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-09-13</th>\n",
       "      <td>1994.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-09-14</th>\n",
       "      <td>1985.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-09-15</th>\n",
       "      <td>2004.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-09-16</th>\n",
       "      <td>1990.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-09-17</th>\n",
       "      <td>2011.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-09-18</th>\n",
       "      <td>2060.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-09-19</th>\n",
       "      <td>2107.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-09-20</th>\n",
       "      <td>2098.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-09-21</th>\n",
       "      <td>2181.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-09-22</th>\n",
       "      <td>2224.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-09-23</th>\n",
       "      <td>2265.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-09-24</th>\n",
       "      <td>2260.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-09-25</th>\n",
       "      <td>2248.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-09-26</th>\n",
       "      <td>2320.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-09-27</th>\n",
       "      <td>2389.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-09-28</th>\n",
       "      <td>2319.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-09-29</th>\n",
       "      <td>2209.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-09-30</th>\n",
       "      <td>2227.13</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              close\n",
       "2005-01-04  1242.77\n",
       "2005-01-05  1251.94\n",
       "2005-01-06  1239.43\n",
       "2005-01-07  1244.75\n",
       "2005-01-08  1252.40\n",
       "2005-01-09  1257.46\n",
       "2005-01-10  1256.92\n",
       "2005-01-11  1256.31\n",
       "2005-01-12  1245.62\n",
       "2005-01-13  1216.65\n",
       "2005-01-14  1225.45\n",
       "2005-01-15  1218.11\n",
       "2005-01-16  1204.39\n",
       "2005-01-17  1234.48\n",
       "2005-01-18  1255.78\n",
       "2005-01-19  1254.23\n",
       "2005-01-20  1241.96\n",
       "2005-01-21  1225.89\n",
       "2005-01-22  1213.67\n",
       "2005-01-23  1191.82\n",
       "2005-01-24  1188.93\n",
       "2005-01-25  1252.50\n",
       "2005-01-26  1242.31\n",
       "2005-01-27  1269.00\n",
       "2005-01-28  1278.88\n",
       "2005-01-29  1276.13\n",
       "2005-01-30  1258.97\n",
       "2005-01-31  1284.48\n",
       "2005-02-01  1309.28\n",
       "2005-02-02  1309.47\n",
       "...             ...\n",
       "2007-09-01  1820.81\n",
       "2007-09-02  1880.72\n",
       "2007-09-03  1937.14\n",
       "2007-09-04  1924.01\n",
       "2007-09-05  1878.18\n",
       "2007-09-06  1904.86\n",
       "2007-09-07  1900.35\n",
       "2007-09-08  1863.37\n",
       "2007-09-09  1928.87\n",
       "2007-09-10  1920.21\n",
       "2007-09-11  1954.44\n",
       "2007-09-12  1986.67\n",
       "2007-09-13  1994.11\n",
       "2007-09-14  1985.02\n",
       "2007-09-15  2004.95\n",
       "2007-09-16  1990.66\n",
       "2007-09-17  2011.68\n",
       "2007-09-18  2060.81\n",
       "2007-09-19  2107.75\n",
       "2007-09-20  2098.02\n",
       "2007-09-21  2181.24\n",
       "2007-09-22  2224.71\n",
       "2007-09-23  2265.16\n",
       "2007-09-24  2260.82\n",
       "2007-09-25  2248.09\n",
       "2007-09-26  2320.79\n",
       "2007-09-27  2389.39\n",
       "2007-09-28  2319.44\n",
       "2007-09-29  2209.86\n",
       "2007-09-30  2227.13\n",
       "\n",
       "[1000 rows x 1 columns]"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "y = d.money\n",
    "x = d.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = plt.subplots(1,1,figsize=(10,8))\n",
    "ax.plot(x,y,color= 'y',label ='全市成交额')\n",
    "plt.legend(loc=1)\n",
    "plt.title('全市成交额与上证指数对比图')\n",
    "\n",
    "ax1 = ax.twinx()\n",
    "ax1.plot(x,y2,color = 'r',label = '上证指数')\n",
    "plt.legend(loc=2)   \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.0"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": false,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "MarkDown菜单",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
